Estimating Wage-Fringe Trade-Offs: Some Data Problems
AbstractOur paper attempts to identify the types of data nee3ed to estimate tradeoffs between wages and fringe benefits (such as pensions); it also explores the usefulness for this estimation of one particular employer- based data set collected by gay Associates. We stress three things: first, that employer-based data sets are required. Second, because pensions and many other fringe benefits are actuarial functions of wages or salaries, these technical relationships must be accounted for in estimation. Third, to take account of unobservable heterogeneity of employees across employers, one must use econometric methods that control for these unobservable variables. The paper concludes with a discussion of our attempts to estimate the tradeoff between wages and fringe benefits using a unique database for 200 establishments that contains information on wages and actuarial valuations of employer costs of fringe benefits at three different job levels.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 0827.
Date of creation: Dec 1981
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Publication status: published as Robert S. Smith, Ronald G. Ehrenberg. "Estimating Wage-Fringe Trade-Offs: Some Data Problems," in Jack E. Triplett, ed., "The Measurement of Labor Cost" University of Chicago Press (1983)
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Other versions of this item:
- Robert S. Smith & Ronald G. Ehrenberg, 1983. "Estimating Wage-Fringe Trade-Offs: Some Data Problems," NBER Chapters, in: The Measurement of Labor Cost, pages 347-370 National Bureau of Economic Research, Inc.
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- Roger H. Gordon & Alan S. Blinder, 1980.
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0513, National Bureau of Economic Research, Inc.
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- Gordon, Roger H. & Blinder, Alan S., 1980. "Market wages, reservation wages, and retirement decisions," Journal of Public Economics, Elsevier, vol. 14(2), pages 277-308, October.
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- Smith, Robert Stewart, 1981. "Compensating Differentials for Pensions and Underfunding in the Public Sector," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 463-68, August.
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